AI & ML Automation Trainer

Key responsibilities

Teach AI fundamentals, machine learning workflows, prompt engineering, and intelligent automation
Guide learners in integrating APIs, no-code or low-code automation tools, and AI services
Lead practical labs and portfolio projects based on real business processes
Update course materials to reflect current AI tools, methods, and responsible-use standards
Requirements

Degree or diploma in Computer Science, Data Science, Artificial Intelligence, or a related field
Practical experience with Python, machine learning libraries, APIs, and workflow automation tools
Understanding of data preparation, model evaluation, generative AI, and responsible AI practices
Experience training, mentoring, or presenting technical concepts is an advantage
A portfolio demonstrating AI, machine learning, or automation projects